Lead Software Engineer

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Prana Treeis a fast-growing IT consulting and product innovation firm specializing in AI, Data Engineering, Blockchain, and Cloud solutions. We partner with global enterprises and start-ups to deliver transformative technologies that solve real-world problems. At Prana Tree, we believe in nurturing talent, driving innovation, and building a future rooted in ethical AI and intelligent automation. Our collaborative, high-impact culture fosters learning, ownership, and end-to-end product thinking.

About the Role

We re looking for an experienced Lead Software Engineer to guide a high-performing team in delivering scalable, innovative, and AI-powered software solutions . This role blends hands-on engineering with technical leadership, giving you the chance to architect robust systems, mentor engineers, and shape next-generation applications.

What You ll Do

  • Lead and mentor a team of software engineers, driving delivery of high-quality products.

  • Oversee solution design, technical architecture, and system optimization.

  • Make key decisions on buy vs. build vs. open-source software (OSS) adoption.

  • Build applications that integrate Software Engineering and LLM (OpenAI, Claude, Gemini).

  • Translate business needs into practical, scalable technical solutions.

  • Ensure coding standards, architecture guidelines, and security best practices.

  • Foster a culture of innovation, collaboration, and continuous improvement.

  • Conduct design/code reviews and drive Agile ceremonies for timely delivery.

What We re Looking For

  • Bachelor s or Master s in Computer Science, Engineering, or related field.

  • 8+ years in software engineering, with 3+ years in a technical leadership role.

  • Proven expertise in full-stack development, cloud technologies, and distributed systems.

  • Hands-on experience with LLM engineering and API integrations (OpenAI, Claude, Gemini).

  • Strong track record in solution design and technical architecture.

  • Excellent problem-solving, communication, and leadership skills.

Good to Have

  • Experience with microservices architecture.

  • Familiarity with MLOps and AI model deployment.

  • Hands-on with Docker/Kubernetes, CI/CD pipelines.

  • Exposure to multi-cloud (Azure, AWS, Google Cloud Platform) environments.